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Author

Viktor K. Prasanna

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Oct 2026

OLA+: Multi-FPGA Overlay Accelerator System for Fully Homomorphic Encryption

Fully Homomorphic Encryption (FHE) is a promising technique for privacy preserving computation. However, homomorphically encrypted operations are orders of magnitude slower than the corresponding unencrypted operations due to high computation and memory bandwidth requirements. FPGAs are attractive platforms for acceler...

Yang Yang, Rajgopal Kannan, Viktor K. Prasanna · 0 citations
Preprint Sep 2026

FPGA Acceleration of Fully Homomorphic Encryption with Adaptive Key Switching

Fully Homomorphic Encryption (FHE) enables privacy-preserving cloud services but incurs substantial computation overhead, making hardware acceleration essential. Among FHE operations, key-switching is a major performance bottleneck. Recent cryptographic advances introduce a novel key-switching method (i.e., KLSS) that...

Zhi-Han Xu, Jayashree Adivarahan, Rajgopal Kannan et al. · 0 citations
Aug 2026

S2MM: Scalable FPGA Acceleration of Secure Matrix Multiplication with Homomorphic Encryption

S2MM is presented, the first scalable FPGA-based accelerator designed for HE MM, and a novel datapath for Homomorphic Linear Transformation (HLT), the dominant workload in HE MM is proposed, enabling fine-grained on-chip data reuse and substantially reducing both off-chip memory traffic and on-chip memory demand.

Zhi-Han Xu, Rajgopal Kannan, Viktor K. Prasanna · 0 citations
Jul 2026

FOLIO: Focused Semantic Memory for Streaming Video Understanding

FOLIO is introduced, a training-free focused semantic memory system that records important parts of the stream in higher detail while keeping surrounding context compactly and substantially reducing the cost of maintaining streaming memory by reserving detailed records for focused entities and storing surrounding conte...

Haoyang Fan, Dhruv Parikh, Anvitha Ramachandran et al. · 1 citation · ⚡1

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